Preparedness for health emergencies requires more than just pharmaceutical interventions. It demands that we better identify, respond to, and recover from outbreaks before they cause great harm. COVID-19 has starkly shown the need for better preparation.
Our shared vulnerability to health emergencies means resilience is a global necessity – and our solutions need to be global too.
No solo action is likely to provide the answers we need. The Trinity Challenge will foster new collaborations across the globe by catalysing the collision between public health and data science, enabling Challenge Teams to connect and contribute insights as global public goods.
Data can unlock breakthrough discoveries to inform how we should act to improve outcomes – with the right analytical minds and data sources, we can and must develop new ways of protecting ourselves against health emergencies.
Ideas and concepts submitted to the challenge should address at least one of three areas in which to improve our approach towards pandemic prevention and control through data and analytics:
We need to know where outbreaks are likely to occur and why, to identify interventions to reduce risk and spill over, and to improve monitoring and surveillance.
Potential projects might include the investigation of i) genomic big data of pathogens; ii) ecological, behavioural and other factors causing the emergence of risks or iii) interventions and incentives to reduce risk and spill over.
We need to know what measures are effective and carry the least societal and economic cost – both where and for whom – to reduce transmission and spread.
Potential projects might include work on i) the optimal preventive interventions; ii) how to cut through the infodemic or iii) how to better capture and extract data-driven learnings.
We need to know how to address the disproportionate health and economic impact of outbreaks and pandemics, particularly on vulnerable groups.
Potential projects might include analysis of i) which interventions best protect population groups including the most vulnerable; ii) how negative second-order consequences can be avoided or iii) how the true costs of pandemic risk can be integrated in global financial and fiscal systems.
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